Information Package / Course Catalogue
Health Statistics and Computer Applications
Course Code: BDB322
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 2
Objectives of the Course

Basic statistical concepts and methods are taught to students by examples and applications in the field of nutrition and dietetics.

Course Content

Basic statistical definitions, descriptive statistics, theoretical distributions, sampling distributions, sampling methods, required sample size, hypothesis tests, correlation and linear regression methods are the contents of this course.

Name of Lecturer(s)
Assoc. Prof. Gürkan GÜNAYDIN
Learning Outcomes
1.To have advanced conceptual and practical knowledge in the field of health statistics and to reach scientific information in the field of nursing, to follow the literature
2.To be able to develop solutions based on evidence and research by using health statistics in the field by gaining the ability to critically evaluate the acquired knowledge and skills, identifying learning needs and directing learning.
3.To be able to transfer his / her scientific ideas and solutions to problems in written and oral form and to be able to use statistics, computer, information and communication technologies as required by his / her field.
4.Decision making in accordance with ethical principles in all stages of research on a health subject
5.Eğitim sürecinde aldığı diğer dersleri ilgili konulara entegre edebilme ve bağımsız olarak öğrenme, okuma, çalışma ve araştırma yeteneğini geliştirebilme
Recommended or Required Reading
1.Alpar R. Spor Bilimlerinde Uygulamalı İstatistik. Nobel Yayın-Dağıtım, Ankara, 2001.
2.Dawson, B., Trapp,B., Robert G. Basic and Clinical Biostatistics. Lange Medical Books/McGraw-Hill. New York, 2004.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Statistics and Biostatistics, Descriptive statistics
Week 2 - Theoretical
Frequency tables, Descriptive statistics from tabular data
Week 3 - Theoretical
Cross tables, single, bivariate and multivariate graphics
Week 4 - Theoretical
Probability and probability distributions
Week 5 - Theoretical
Sampling distributions, point and interval estimation
Week 6 - Theoretical
Practice I
Week 7 - Theoretical
Sampling methods, determination of sample size (Quiz)
Week 8 - Theoretical
Sampling methods, determination of sample size
Week 9 - Theoretical
Introduction to hypothesis testing, one sample tests
Week 10 - Theoretical
Two sample tests
Week 11 - Theoretical
K sample tests
Week 12 - Theoretical
Practice II
Week 13 - Theoretical
Correlation and regression analysis
Week 14 - Theoretical
General Practice
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory130226
Midterm Examination110111
Final Examination110111
TOTAL WORKLOAD (hours)48
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
OÇ-1
2
2
1
1
1
2
3
3
2
3
2
1
2
2
OÇ-2
3
3
2
3
4
4
2
3
3
3
3
2
3
2
OÇ-3
2
2
3
3
3
2
3
4
2
3
2
4
2
1
OÇ-4
3
3
2
2
4
2
2
3
2
3
3
3
5
4
OÇ-5
4
4
4
5
5
2
5
2
3
3
2
2
4
2
Adnan Menderes University - Information Package / Course Catalogue
2026